Gouri MishraTeradata FSLDM Consultant at TIK IT Solutions
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"I am very satisfied with the customer service/technical support."
"The most valuable features are the performance and usability."
"The most valuable feature for me is querying."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature of this solution is performance."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"It is a stable program."
"The functionality of the solution is excellent."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"The performance is great, we are able to query our data in one operation."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"More tools to help designers should be included."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"The reporting for certain types of data needs to be improved."
"This solution would be improved with an option for in-memory data analysis."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the tool to support different operating systems."
"The user interface needs to be improved."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It could use some more advanced analytics relating to structured and semi-structured data."
"I would like to see more integration with many different types of data."
"I think the program is well-priced compared to the other offerings that are out in the market."
"Microsoft has an agreement with the government in our country, so our customers get their licensing costs from the Ministry. Whenever we work with any government, company, or government institute, which is mainly what we are doing, that license comes directly from the Ministry of Technology and Information."
"All the features that we use do not require any additional subscription or yearly fees."
"The price needs to be more competitive as Hadoop, Redshift, Snowflake, etc are constantly making way into EDW space."
"The solution requires a license."
The traditional structured relational data warehouse was never designed to handle the volume of exponential data growth, the variety of semi-structured and unstructured data types, or the velocity of real time data processing. Microsoft's SQL Server data warehouse solution integrates your traditional data warehouse with non-relational data and it can handle data of all sizes and types, with real-time performance.
Teradata's portfolio of big data analytic solutions, integrated marketing applications, and services help organizations gain a sustainable competitive advantage with data.
Microsoft Parallel Data Warehouse is ranked 6th in Data Warehouse with 11 reviews while Teradata is ranked 7th in Data Warehouse with 5 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Teradata is rated 8.2. The top reviewer of Microsoft Parallel Data Warehouse writes "Collects data through SSIS packages from different sources and puts them all in one data repository". On the other hand, the top reviewer of Teradata writes "Good data warehousing, scalable, and offers good functionality". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, SAP BW4HANA and VMware Tanzu Greenplum, whereas Teradata is most compared with Oracle Exadata, Snowflake, SQL Server, Amazon Redshift and Oracle Database. See our Microsoft Parallel Data Warehouse vs. Teradata report.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.